Environmental Earth Sciences, Год журнала: 2024, Номер 83(22)
Опубликована: Ноя. 1, 2024
Язык: Английский
Journal of Environmental Management, Год журнала: 2024, Номер 371, С. 123094 - 123094
Опубликована: Ноя. 2, 2024
Язык: Английский
Процитировано
11
Frontiers in Environmental Science, Год журнала: 2025, Номер 12
Опубликована: Янв. 9, 2025
Flood risk assessment is crucial for effective disaster management and community resilience. However, the current research lacks strength in identifying high-risk areas, implementing flood early warning systems, prioritising reduction measures, allocating resources emergency response planning management. This study aims to assess hazard Mirzadhare, Charsadda a highly flood-prone area Khyber Pakhtunkhwa province of Pakistan. The used an integrated approach by employing geographical information system (GIS) multi-criteria decision analysis (MCDA) techniques. Further, multiple datasets, including rainfall, stream density, village points map out susceptibility region. Data was collected from field surveys, questionnaires, interviews, allowing detailed hazards. Selecting average precipitation, peak river flow, historical frequency as indicators, weights three are 0.4, 0.3, 0.3 respectively, indicator predicting disasters constructed. results categorised into four zones: very high, medium, low, based on their findings reveal that more than 65% area, agricultural land with other livelihood settlements, at high hazard. Over 50% population lives floodplains faces extremely future events. precision may have been affected accuracy completeness data sources utilised, such records, precipitation data, network density. combination methods enabled creation accurate, data-driven maps. serves valuable tool decision-making, resource allocation, development strategies. Based findings, regular updates continuous monitoring recommended ensure relevance over time.
Язык: Английский
Процитировано
2
International Journal of Geophysics, Год журнала: 2025, Номер 2025(1)
Опубликована: Янв. 1, 2025
Extreme flooding is becoming a more serious hazard to the world’s infrastructure, especially in high‐risk locations, and linked global warming human activity. This research employs an analytical hierarchy process (AHP) model geographic information system (GIS) analysis delineate flood risk zones. An eight‐factor multiparametric method susceptibility mapping includes precipitation, distance river, slope, elevation, land use/cover, topographic wetness index, type of soil, curvature. urban index (UFRI) established based on vulnerability mapping, revealing that approximately 33% Haripur District, Khyber Pakhtunkhwa, Pakistan, prone floods. Additionally, use cover indicates 23% crop area District at from disasters. Recognizing potential for costly damage serves as valuable tool prioritize areas agricultural development. The outcomes this study are anticipated significantly contribute predisaster control management studied area.
Язык: Английский
Процитировано
1
Frontiers in Environmental Science, Год журнала: 2025, Номер 13
Опубликована: Апрель 9, 2025
Extreme climatic events, such as floods, are becoming increasingly frequent and severe worldwide, including in Pakistan. The Swat River Catchment (SRC), located the eastern Hindukush region of Pakistan, is highly susceptible to flooding due its unique geographical conditions. However, despite region’s susceptibility, comprehensive flood risk assessments that integrate hazard, vulnerability, exposure components remain limited. To address this gap, study assesses SRC using 22 indicators distributed across three core dimensions risk: exposure. Flood hazard was modeled 11 indicators, broadly categorized into environmental, hydrological, aspects, while vulnerability evaluated through socio-economic factors, proximity, land use characteristics. Exposure analyzed based on population metrics critical infrastructure. All data were converted thematic layers GIS, systematically weighted Analytical Hierarchy Process (AHP) combined produce maps respectively. These then integrated a equation generate final map. results reveal 31% area high zone, 27% moderate zones, 23% low risk, 19% safe areas. validated Area Under Curve (AUC) technique, yielding value 0.92, which indicates reliability. By presenting first assessment for SRC, provides valuable insights flood-prone areas distribution. highlight urgent need enhanced management, especially urban developed methodology serves tool disaster management authorities planners, helping them make risk-informed decisions, allocate resources efficiently, implement targeted mitigation strategies.
Язык: Английский
Процитировано
1
Journal of Mountain Science, Год журнала: 2025, Номер 22(1), С. 142 - 155
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0
Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 60, С. 102468 - 102468
Опубликована: Май 22, 2025
Язык: Английский
Процитировано
0
Frontiers in Public Health, Год журнала: 2024, Номер 12
Опубликована: Дек. 18, 2024
Although climate change has received significant global attention, there been a distinct disregard for the issue of psychological well-being. The elevated floods resulting from have substantial impacts on both physical infrastructure and human This includes coerced relocation individuals their homes, unemployment, setbacks, disruption communities. occurrence displacement due to major natural disasters, such as in Pakistan 2022, is linked varying degrees anxiety ranging moderate severe. aim this research perform comprehensive analysis topic by utilizing available literature. study aims ascertain correlation between floods, caused environmental shifts, influence mental well-being Pakistan, specifically focusing experiences susceptible Vulnerable populations, including socioeconomically disadvantaged communities, older adults, with disabilities, children, are particularly adverse effects severe weather conditions. During catastrophes, experience levels psychological, emotional, stress, which subsequently amplifies vulnerability these detrimental consequences.
Язык: Английский
Процитировано
2
Frontiers in Environmental Science, Год журнала: 2024, Номер 12
Опубликована: Ноя. 15, 2024
As a low-income country, Pakistan is particularly vulnerable to various natural and human-induced disasters, which have significant consequences for both the environment human life. A substantial share of provincial budget allocated disaster response recovery efforts. Prioritizing investment in risk reduction (DRR) essential protect lives assets. Although there complex relationship between investments made before after disasters their effectiveness DRR, this dynamic remains insufficiently understood Pakistan’s Khyber Pakhtunkhwa (KP) province. The current study was designed analyze developmental budgeting DRR financial years 2000–2022 KP Sen’s Slope Estimator modified Mann-Kendall tests were used determine significance trend, while correlation coefficient test find disaster-induced damages such as deaths, injuries houses damaged. findings reveal that occurrence influences post-disaster spending province, with negative expenditure disaster-related damages, implying increased has significantly reduced disasters. To minimize vulnerability future province should integrate risk-sensitive planning across all sectoral departments at local, district, levels, guided by risk-informed development approach. This proactive strategy would embed resilience within activities, ensuring each sector aligns principles sustainable growth.
Язык: Английский
Процитировано
1
Environmental Earth Sciences, Год журнала: 2024, Номер 83(22)
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
0